Spatial and temporal analysis of urban heat island effect over Tiruchirappalli city using geospatial techniques

城市热岛 冷斑 环境科学 共同空间格局 市区 农村地区 强度(物理) 地理空间分析 城市气候 自然地理学 气候学 地理 气象学 城市化 遥感 地质学 生态学 生物 医学 物理 病理 量子力学
作者
Ajay Badugu,K. S. Arunab,Aneesh Mathew,P. Sarwesh
出处
期刊:Geodesy and Geodynamics [KeAi]
卷期号:14 (3): 275-291 被引量:21
标识
DOI:10.1016/j.geog.2022.10.004
摘要

Alterations made to the natural ground surface and the anthropogenic activity elevate the surface and air temperature in the urban areas compared with the surrounding rural areas, known as urban heat island effect. Thermal remote sensors measure the radiation emitted by ground objects, which can be used to estimate the land surface temperature and are beneficial for studying urban heat island effects. The present study investigates the spatial and temporal variations in the effects of urban heat island over Tiruchirappalli city in India during the summer and winter seasons. The study also identifies hot spots and cold spots within the study area. In this study, a significant land surface temperature difference was observed between the urban and rural areas, predominantly at night, indicating the presence of urban heat island at night. These diurnal land surface temperature fluctuations are also detected seasonally, with a relatively higher temperature intensity during the summer. The trend line analysis shows that the mean land surface temperature of the study area is increasing at a rate of 0.166 K/decade with p less than 0.01. By using the spatial autocorrelation method with the urban heat island index as the key parameter, hot spots with a 99 percent confidence level and a 95 percent confidence level were found within the urban area. A hot spot with 95 and 90 percent confidence level was identified outside the urban area. This spike in temperature for a particular region in the rural area is due to industry and the associated built-up area. The study also identified cold spots with a 90 percent confidence level within the rural area. However, cold spots with a 95 and 99 percent confidence level were not identified within the study area.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ww完成签到 ,获得积分10
1秒前
2秒前
猪猪hero发布了新的文献求助10
3秒前
3秒前
科研通AI6.2应助天人旧馆采纳,获得10
3秒前
4秒前
英俊的铭应助悦耳冰萍采纳,获得10
4秒前
hihi完成签到,获得积分10
4秒前
vvvvvv完成签到,获得积分10
5秒前
李昆朋完成签到,获得积分10
5秒前
充电宝应助流云采纳,获得10
6秒前
旺仔发发完成签到,获得积分10
6秒前
7秒前
领导范儿应助chuanxue采纳,获得10
7秒前
爱丽丝发布了新的文献求助30
8秒前
乐乐应助yyan采纳,获得10
10秒前
七里香发布了新的文献求助10
10秒前
Orange应助罗兴鲜采纳,获得10
10秒前
11秒前
12秒前
13秒前
13秒前
汉堡包应助河鲸采纳,获得10
13秒前
14秒前
lettuce发布了新的文献求助20
15秒前
thebin完成签到,获得积分10
15秒前
在水一方应助孤独的南松采纳,获得10
15秒前
汪汪完成签到,获得积分20
15秒前
阮万田关注了科研通微信公众号
15秒前
SherlockJia发布了新的文献求助10
16秒前
Emma施施完成签到,获得积分10
16秒前
斯文败类应助颜开采纳,获得10
16秒前
小马甲应助lemonyu采纳,获得10
17秒前
余彦璇发布了新的文献求助10
17秒前
Gustin完成签到,获得积分10
18秒前
YangXiao发布了新的文献求助30
18秒前
thebin发布了新的文献求助10
18秒前
19秒前
李健应助疯狂的寻绿采纳,获得10
19秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6528091
求助须知:如何正确求助?哪些是违规求助? 8321205
关于积分的说明 17813120
捐赠科研通 5629733
什么是DOI,文献DOI怎么找? 2930608
邀请新用户注册赠送积分活动 1907291
关于科研通互助平台的介绍 1766727